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- Tasks: Analyse complex datasets and provide insights to drive business decisions.
- Company: Join an elite FinTech firm at the forefront of innovation.
- Benefits: Competitive salary, bonuses, and opportunities for professional growth.
- Why this job: Make a real impact in finance while working with cutting-edge data technologies.
- Qualifications: 3+ years as a Data Analyst with strong SQL and Python skills.
- Other info: Dynamic team environment with a focus on continuous improvement.
The predicted salary is between 52000 - 78000 £ per year.
Client: Elite FinTech
Salary: £65,000-£100,000 + Bonus
Location: London
Skills: SQL, Python, PySpark, Airflow, Linux
The role:
My client are looking for a Data Analyst to join their team.
Responsibilities:
- Playing a key role in all Data related activities for a wide range of datasets, used by Quants and Traders
- Working closely with Stakeholders across a range of departments
- Investigating complex issues and providing resolutions
- Assuring Data acuity
- Analysing wide ranges of Data and providing insight
- Using different data quality indices
- Recommending improvements within data pipelines to increase data acuity
- Identifying opportunities for improvement generally with a continuous improvement mindset
Core skills required:
- 3+ years working as a Data Analyst, ideally within FinTech or Financial Services
- Exposure to Derivatives or other Financial instruments
- Strong SQL experience
- Strong Python experience (PySpark, Pandas, Jupyter Notebooks etc.)
- Airflow / Algo for workflow management
- Git
- Any exposure to compressed file formats such as Parquet or HDF5 highly advantageous
- Linux / Bash skills highly desirable
Please apply ASAP for more information.
Data Analyst - FinTech - £65,000-£100,000 + Bonus employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - FinTech - £65,000-£100,000 + Bonus
✨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space and let them know you're on the hunt for a Data Analyst role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and Python skills. Make sure you can talk confidently about your experience with data pipelines and how you've tackled complex issues in the past. Practice makes perfect!
✨Tip Number 3
Showcase your analytical mindset! When discussing your previous projects, highlight how you’ve used data to drive insights and improvements. Employers love candidates who can demonstrate a continuous improvement approach.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Data Analyst - FinTech - £65,000-£100,000 + Bonus
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Python, and any relevant FinTech projects. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis in the FinTech space. Share specific examples of how you've tackled complex issues and provided insights.
Showcase Your Technical Skills: Don’t forget to mention your technical skills like Airflow, Git, and Linux. We love seeing candidates who are well-versed in these areas, so make sure they stand out in your application!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Hunter Bond
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, especially in a FinTech context. This will show that you not only know the theory but can apply it practically.
✨Understand the Business
Research the company and its position in the FinTech space. Familiarise yourself with their products and how data plays a role in their success. This knowledge will help you connect your skills to their needs during the interview.
✨Prepare for Technical Questions
Expect to face technical questions related to data analysis and problem-solving. Practice explaining your thought process clearly, especially when discussing complex issues you've resolved in the past. This will demonstrate your analytical skills and ability to communicate effectively.
✨Show Continuous Improvement Mindset
Be ready to discuss how you've identified opportunities for improvement in previous roles. Share examples of how you've enhanced data pipelines or improved data quality. This aligns perfectly with the company's focus on continuous improvement and will set you apart from other candidates.
